Text-based modeling of Clinical Pathways is complicated and error-prone due to the complexity and extent of the treatment process. For medical experts, the error rate is significantly more probable because of their unfamiliarity with modeling or programming practices. Therefore, to solve this problem, our study develops a constraint validator to detect syntactic and semantic errors in a Domain-Specific Language specialized in modeling clinical pathways. The output of our validator is non-technical, elaborated error messages to assist medical experts in locating the error source and executing the corresponding solution. To evaluate the usability and accuracy of the validator, we will interview medical experts across various departments to collect quantitative and qualitative feedback. The evaluation focuses on the comprehension of the generated error messages, error correction, and the overall user experience of the medical experts.
Name | Type | Size | Last Modification | Last Editor |
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220407 Erdem Master Thesis.pdf | 2,88 MB | 19.04.2022 | ||
Selin_Erdem-Thesis_Kickoff_Presentation.pdf | 2,33 MB | 27.09.2021 | ||
Selin_Erdem_Final_Presentation.pdf | 3,19 MB | 02.05.2022 |